Triple
T4532021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imlil |
E106318
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Toubkal |
E18784
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mount Toubkal | Statement: [Imlil, near, Mount Toubkal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Toubkal Context triple: [Imlil, near, Mount Toubkal]
-
A.
Toubkal
chosen
Toubkal is a prominent mountain peak in southwestern Morocco, renowned as the highest summit in North Africa and a popular destination for trekking and mountaineering.
-
B.
Mont Aigoual
Mont Aigoual is a prominent peak in the Cévennes range of southern France, known for its panoramic views and historic meteorological observatory.
-
C.
Mont Bessou
Mont Bessou is a mountain in central France’s Massif Central range, noted as the highest summit in the Corrèze department and offering panoramic views from its observation tower.
-
D.
Pic Saint-Loup peak
Pic Saint-Loup peak is a prominent limestone mountain in southern France, renowned for its dramatic profile and as a landmark of the Languedoc wine region.
-
E.
Jbel Bou Naceur
Jbel Bou Naceur is a prominent mountain peak in Morocco known for its rugged terrain and scenic hiking routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd579f27ac8190ae9a4252109e56e1 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdace3a81c8190963ea65fa3df23c0 |
completed | March 20, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:03 p.m.